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Specialist capability · for law firms, solos and in-house teams

Practical AI systems for law firms.

Lawyers who use AI on live matters set it up inside your practice: the right tools, configured properly, connected to the systems you already use, and governed by a written policy. We start with the admin work that eats your week and move to legal-specific AI once your team trusts it. Automate the repeatable. Keep judgment human.

Scope an AI workflow How an engagement runs

$1,000+Target saving in your first month, measured against your own baseline. A target, not a guarantee.
Same dayAnswer on your idea: can it be done, and what it costs
Lawyer builtBy people who draft on these tools daily

What AI enablement for a law firm actually means

AI enablement for a law firm is the work of choosing, configuring, connecting and governing AI tools so a legal team can use them on real matters without risking client confidentiality. It covers tool selection, account and privacy configuration, connecting AI to the firm’s email, documents and case management system, building firm-specific skills and automations, writing an AI use policy, and training lawyers and staff. It is implementation work, not a software licence.

Most firms buy a subscription and stop there. The subscription is maybe a tenth of the value. The rest sits in projects, skills, connectors, MCP servers, agents and automations that nobody switches on, because switching them on takes someone who understands both the tooling and the practice of law.

How AI consulting for law firms differs from general AI consulting

A general AI consultant optimises a process. A legal AI consultant has to start from professional duties: confidentiality under the rules of professional conduct, privilege, conflicts, supervision of non-lawyer work, and the duty of technological competence. That is why we are lawyers who build, rather than builders who read up on law. We run these workflows on our own live matters in US immigration, contracts, privacy, compliance and Indian litigation before we recommend them to anyone.

Which AI tools should a law firm use?

There is no single answer, and for most firms it is two tools rather than one. Claude and ChatGPT cover drafting, analysis and long documents; Gemini fits firms already inside Google Workspace; Microsoft Copilot fits firms living in Word, Outlook and Teams; NotebookLM is strong for grounded answers over a fixed document set; Perplexity is for cited research. Where a matter cannot go to any cloud service, an open model such as Llama running locally on the firm’s own hardware is the answer. We take no commission from any vendor, so the recommendation is driven by your work, your budget and your confidentiality obligations.

How an engagement runs

Build the workflow before buying another tool.

Five stages, scoped and priced before we start. Every stage keeps a person in control of anything that reaches a client.

  1. Assess

    Measure where the hours go and what may go into which tool, given your confidentiality obligations.

  2. Configure

    Accounts, plans and privacy settings, projects and workspaces, set up for how your team works.

  3. Connect and build

    Connectors, MCP servers, firm skills and automations against the systems you already run.

  4. Govern and train

    A written AI use policy, verification habits and hands-on training on your own matter types.

  5. Measure

    Results checked against the week-one baseline, so you see your own number rather than ours.

The tools

Expert in the tools that matter, and every feature in them

Not just chat. Projects, skills, connectors, plugins, agents and custom integrations are where the real time savings are, and they are what most firms never switch on.

Claude
Projects, Skills, Connectors
Claude Code
Agents that build and automate
ChatGPT
Custom GPTs, Projects
Codex
Code and automation
Gemini
Gems, Google Workspace
NotebookLM
Your documents, grounded answers
Perplexity
Cited research
Microsoft Copilot
Word, Outlook, Teams
Llama and open models
Self hosted, private
Local LLMs
Ollama, LM Studio, on your hardware
MCP servers
Connect AI to your systems
Legal AI platforms
When you are ready for them
What we build

From setup to software

Pick one piece or all of them. Every engagement starts from your actual workload, not a vendor demo.

Setup and configuration

The right accounts and plans, privacy settings, projects and workspaces, and connections to your email, calendar, drive and practice management system. Working on day one.

ClaudeChatGPTGeminiCopilotPrivacy settings

Custom skills and plugins

Your templates, checklists, clause positions and drafting voice, packaged as reusable skills and plugins so every lawyer gets the firm’s way of doing it.

SkillsPluginsCustom GPTsGems

Custom MCP servers and connectors

Connect AI directly to your case management, document store, billing or CRM, so it works with your real data instead of copy and paste.

MCPConnectorsAPIsAutomations

Local and private LLMs

Llama and other open models running on your own machines or private cloud, for matters where client data must never leave the firm.

LlamaOllamaLM StudioOn premise

Custom tools, apps and software

Intake forms, trackers, client portals, dashboards and automations built for how you work. We run Lexverse itself on a partner portal, task and time trackers and meeting to task automation that we built.

Claude CodeCodexWeb appsDashboards

Training and AI policy

Hands on training on your own matter types, a written AI use policy, and the discipline of checking a confident wrong answer before it reaches a client.

TrainingAI policyVerificationSupport
How we roll it out

Admin first. Legal AI when you are ready.

Trust is built on low risk work. We start where mistakes are cheap and savings are immediate, then move up.

1

Admin work

Email triage and replies, scheduling, meeting notes to tasks, intake, invoicing reminders, filing and naming documents.

2

Firm workflows

Templates, clause libraries, chronologies, summaries and first pass document review, with a human check at every step.

3

Legal specific AI

Evaluate and roll out legal AI platforms that fit your practice area, or build legal workflows on the tools you already pay for.

4

Custom build

Your own MCP servers, private models and apps, for the problems no off the shelf tool solves.

What it costs

How much does AI cost a law firm?

Two numbers, and we give you both before you commit: the one-off fee to build it, and the monthly bill you pay the providers directly. We never mark up a subscription and we take no commission from any vendor.

Build
Setup, configuration, custom skills, MCP servers, apps and training. Scoped to your workload.
Fixed fee, quoted before we start
Run
Subscriptions and hosting, paid by you straight to the provider. Business and team plans for the major assistants typically run about $25–$30 per user per month; heavy-use plans run higher.
Provider cost, no markup
Private
A local or on-premise model is one-off hardware plus setup. No per-seat licence, no data leaving the office.
One-off, then effectively free to run
Support
Optional monthly retainer for changes, new workflows and help when something breaks.
Monthly, cancel any time
$1,000+Target saving in month one, measured against your own baseline
0%Commission or reseller margin. We are not a reseller of anything
Same dayAnswer on whether your idea can be built, and what it would cost
How long it takes

Your first 30 days

Most firms are using AI on real admin work inside the first week. The month is about making it stick.

W1

Baseline and setup

We measure where the hours actually go, pick the tools, set up accounts and privacy settings, and get the first two or three workflows running.

W2

Connect and train

Connections to your email, calendar, drive and case management system. Hands-on training for the whole team on their own matter types, not a generic demo.

W3

Firm-specific build

Your templates, clause positions and checklists packaged as reusable skills. Any custom MCP server or automation the workflow needs.

W4

Policy and measure

A written AI use policy for the firm, a verification habit for every output that reaches a client, and your saving measured against the week-one baseline.

How we compare

Legal AI platform, IT consultant, or us

Three different things get sold as “AI for law firms”. They solve different problems, and for most firms the honest answer is that you start with the cheapest one.

A legal AI platform

Harvey, CoCounsel, Spellbook and the rest. Strong at one thing, priced for it, and often sold with seat minimums. Worth buying after your team is already fluent, when you know which workflow justifies the licence.

Per seatNarrowFast to start

A general IT or AI consultant

Can build the integration, cannot tell you what may go into which model, what supervision a draft needs, or where an output crosses into legal advice. The professional-duty layer is left to you.

TechnicalNo legal duty layer

Lexverse

Lawyers who ship. We start with the tools you already pay for, switch on the parts nobody uses, build what is missing, and write the confidentiality rules into the setup rather than into a disclaimer. Tool neutral, fixed fee, no lock-in.

Lawyer builtTool neutralFixed feeBuild included

Where the first $1,000 comes from

Time. Value admin time at just $10 an hour. If AI takes 100 hours of admin a month off your team, say five people each saving 20 hours on email, scheduling, intake, meeting notes and filing, that is $1,000 back in the first month. Count it at what a lawyer’s hour is really worth and the number is far higher. We measure your starting point in the first week, so you see your own number rather than taking ours on trust.

The bigger return is bandwidth. The hours AI takes off the admin pile go back to strategy, clients and the drafting that actually needs a lawyer.

Why lawyers, not a software vendor

  • We use these tools on live client matters every day, across US immigration, contracts, compliance and litigation
  • We know what can and cannot go into a general purpose model, and why
  • We are tool neutral: no reseller deals, no commissions, no lock in
  • We build what we recommend, and we run our own firm on it
  • Led by a lawyer trained in computer science (Harvard’s CS50 for Lawyers), AI and law (Lund University), cybersecurity (IBM) and data privacy (CIPP/E), who runs AI and automation for a US law firm
More servicesEB-1A and EB-2 NIW petitionsMore servicesCompliance, due diligence and incorporationMore servicesResearch, docket pulls and PACER
Straight answers

Questions firms ask about AI

AI enablement is the work of choosing, configuring, connecting and governing AI tools so a legal team can use them on live matters without risking client confidentiality. It covers tool selection, account and privacy configuration, connecting AI to the firm's email, documents and case management system, building firm-specific skills and automations, writing an AI use policy, and training lawyers and staff. It is implementation work, not a software licence.
There are two numbers and we give you both before you commit. The build is a fixed fee, quoted after we have seen your workload. The running cost is the subscriptions and hosting you pay the providers directly: business and team plans for the major assistants typically run about $25 to $30 per user per month, with heavier plans costing more. A local model is one-off hardware with no per-seat licence. We take no commission from any vendor and never mark up a subscription.
Most firms are using AI on real admin work within the first week. Week one is baseline measurement and setup, week two is connections and hands-on training, week three is firm-specific skills and any custom build, and week four is the written AI policy and measuring your saving against the week-one baseline. Larger custom builds, such as a bespoke MCP server or an internal app, run alongside on their own schedule.
Not on a consumer plan, and not without rules. On a business or team plan with training on your data switched off, and with a written policy on what may go into which tool, general assistants can be used for a large amount of legal work safely. Some matters should never touch a cloud service at all; for those we run an open model such as Llama on the firm's own hardware so nothing leaves the office. Confidentiality is the first design decision in every setup we do, not a disclaimer at the end.
Confidentiality is the first design decision, not an afterthought. We set up business plans with training on your data switched off, restrict what goes into which tool, write it into a firm AI policy, and where a matter is too sensitive for any cloud service, run an open model on your own hardware so the data never leaves the office.
MCP, the Model Context Protocol, is an open standard that lets an AI assistant talk to your systems directly instead of you copying and pasting between them. A custom MCP server connects Claude, ChatGPT or another assistant to your case management system, document store, billing platform or CRM, so the assistant works from your real matter data. It is the difference between an assistant that guesses and one that knows. We build these to order, with destructive actions disabled or gated behind explicit confirmation.
A general model can and will produce a confident wrong answer, including a citation that does not exist. That is why every setup we build includes a verification step and why we train your team on it explicitly. We also ground the work wherever possible, using tools that cite sources or answer only from a fixed document set, so the output can be checked against something real rather than trusted on tone.
Time. Value admin time at just $10 an hour. If AI takes 100 hours of admin a month off your team, say five people each saving 20 hours on email, scheduling, intake, meeting notes and filing, that is $1,000 back in the first month. We measure your starting point in the first week so you see your own number, not ours.
Yes, and small firms usually see the fastest return because there is no one else to absorb the admin. Firms with more than fifty lawyers are adopting AI at roughly twice the rate of smaller ones, largely because enterprise legal AI platforms are priced for them. We work the other way round: start with the tools you already pay for, switch on the parts nobody uses, and only recommend a paid platform when a specific workflow justifies it.
No. We set everything up, connect it to the tools you already use, and train your people in plain language on their own matters. You need someone willing to try it, not someone who can code.
It depends on your work, your budget and your confidentiality needs, and often the answer is two tools rather than one. Claude and ChatGPT cover drafting and analysis, Gemini suits Google Workspace firms, Microsoft Copilot suits firms in Word and Outlook, NotebookLM is strong for grounded answers over a fixed document set, and Perplexity is for cited research. We are not resellers and earn nothing from any vendor, so the recommendation is based only on what fits your firm.
No. We connect AI to what you already run rather than asking you to migrate. If your system has an API we can build a connector or an MCP server for it. If it does not, we automate around it. Replacing core systems is expensive and disruptive, and it is almost never the fastest route to a saving.
Yes. A written AI use policy is part of the standard engagement: what may go into which tool, who approves new tools, how outputs are verified before they reach a client, what is logged, and what is prohibited outright. It is drafted around your actual practice areas and the tools we set up, not copied from a template.
Setup and custom builds are quoted as a fixed fee before we start. Running costs are the subscriptions or hosting you pay directly to the provider, and we tell you that monthly number up front. Ongoing support is optional, on a monthly plan.
Yes. We work with law firms, solo lawyers and in-house legal teams in the United States, the United Kingdom, India and elsewhere, fully remotely. Our team works to US deadlines as a matter of routine.
Yes. In-house teams often have a harder version of the same problem: more systems to connect, a stricter security review and a smaller headcount. The approach is the same, with the addition of working through your IT and security function rather than around it.
Once your team is comfortable with general AI on admin work. Then we help you evaluate legal platforms against your practice area and budget, or build legal workflows of your own on the tools you already pay for.
Scope an AI workflow

Have an idea? Ask if it can be done.

Describe the tool, automation or workflow you have in mind, however rough. We reply quickly with a straight answer: whether it can be done, how we would build it, what it costs to build, and what it will cost to run each month.

Emailcontact@lexverselegal.com
ReplyFeasible or not, the build cost and the monthly running cost
Works withFirms and lawyers in the US, India and beyond
ConfidentialHappy to sign your NDA before details

Please don’t include client confidential details in a first message. We will put an NDA in place before we go deeper.